This book constitutes the refereed proceedings of the 6th International Conference on Optimization and Learning, OLA 2023, held in Malaga, Spain, during May 3-5, 2023. The 32 full papers included in this book were carefully reviewed and selected from 78 submissions. They were organized in topical sections as follows: advanced optimization; learning; learning methods to enhance optimization tools; optimization applied to learning methods; and real-world applications.
This book constitutes the refereed proceedings of the 6th International Conference on Optimization and Learning, OLA 2023, held in Malaga, Spain, during May 3-5, 2023. The 32 full papers included in this book were carefully reviewed and selected from 78 submissions. They were organized in topical sections as follows: advanced optimization; learning; learning methods to enhance optimization tools; optimization applied to learning methods; and real-world applications.
Produktdetails
Produktdetails
Communications in Computer and Information Science 1824
Die Herstellerinformationen sind derzeit nicht verfügbar.
Inhaltsangabe
Advanced Optimization.- A comparative study of fractal-based decomposition optimization.- Diagonal Barzilai-Borwein rules in stochastic gradient-like methods.- Algorithm Selection for Large-Scale Multi-objective Optimization.- Solving a Multi-Objective Jop Shop Scheduling Problem With An Automatically Configured Evolutionary Algorithm.- Solving the Nurse Scheduling Problem using the Whale Optimization Algorithm.- A hierarchical Cooperative Coevolutionary approach to solve Very Large-scale Traveling Salesman Problem.- Tornado: An Autonomous Chaotic Algorithm For High Dimensional Global Optimization Problems.- Learning.- Neural Network Information Leakage through Hidden Learning.- Mixing Data Augmentation Methods for Semantic Segmentation.- Real-time elastic partial shape matching using a neural network-based adjoint method.- We won't get fooled again: when performance metric malfunction affects the landscape of hyperparameter optimization problems.- Condition-based maintenance optimization under large action space with deep reinforcement learning method.- Learning methods to enhance optimization tools.- An Application of Machine Learning Tools to Predict the Number of Solutions for a Minimum Cardinality Set Covering Problem.- Adaptative Local Search for a Pickup and Delivery Problem Applied to Large Parcel Distribution.- Graph Reinforcement Learning for Operator Selection in the ALNS Metaheuristic.- Multi-objective optimization of adhesive bonding process in constrained and noisy settings.- Evaluating Surrogate Models for Robot Swarm Simulations.- Interactive Job Scheduling with Partially Known Personnel Availabilities.- Multi-Armed Bandit-based Metaheuristic Operator Selection: The Pendulum Algorithm binarization case.- Optimization applied to learning methods.- BinaryBlack Widow with Hill Climbing Algorithm for Feature Selection.- Optimization of Fuzzy C-Means with Alternating Direction Method of Multipliers.- Partial K-means with M outliers: Mathematical programs and complexity results.- An optimization approach for optimizing PRIM's randomly generated rules using the Genetic Algorithm.- Real-world Applications.- A fast methodology to find Decisively Strong Association Rules (DSR).- Characterization and categorization of software programs on x86 architectures.- Robot-Assisted Delivery problems and Their Exact Solutions.- Modeling and analysis of organizational network analysis graphs based on employee data.- Time Series Forecasting for Parking Occupancy: Case Study of Malaga and Birmingham Cities.- E-scooters Routes Potential: Open Data Analysis in Current Infrastructure. Malaga Case.- Automatic Generation of Subtitles for Videos of the Government of La Rioja.- Estimation of the distribution of Body Mass Index (BMI) with sparse and low-quality data. The case of the Chilean adult population.- A New Automated Customer Prioritization Method.
Advanced Optimization.- A comparative study of fractal-based decomposition optimization.- Diagonal Barzilai-Borwein rules in stochastic gradient-like methods.- Algorithm Selection for Large-Scale Multi-objective Optimization.- Solving a Multi-Objective Jop Shop Scheduling Problem With An Automatically Configured Evolutionary Algorithm.- Solving the Nurse Scheduling Problem using the Whale Optimization Algorithm.- A hierarchical Cooperative Coevolutionary approach to solve Very Large-scale Traveling Salesman Problem.- Tornado: An Autonomous Chaotic Algorithm For High Dimensional Global Optimization Problems.- Learning.- Neural Network Information Leakage through Hidden Learning.- Mixing Data Augmentation Methods for Semantic Segmentation.- Real-time elastic partial shape matching using a neural network-based adjoint method.- We won't get fooled again: when performance metric malfunction affects the landscape of hyperparameter optimization problems.- Condition-based maintenance optimization under large action space with deep reinforcement learning method.- Learning methods to enhance optimization tools.- An Application of Machine Learning Tools to Predict the Number of Solutions for a Minimum Cardinality Set Covering Problem.- Adaptative Local Search for a Pickup and Delivery Problem Applied to Large Parcel Distribution.- Graph Reinforcement Learning for Operator Selection in the ALNS Metaheuristic.- Multi-objective optimization of adhesive bonding process in constrained and noisy settings.- Evaluating Surrogate Models for Robot Swarm Simulations.- Interactive Job Scheduling with Partially Known Personnel Availabilities.- Multi-Armed Bandit-based Metaheuristic Operator Selection: The Pendulum Algorithm binarization case.- Optimization applied to learning methods.- BinaryBlack Widow with Hill Climbing Algorithm for Feature Selection.- Optimization of Fuzzy C-Means with Alternating Direction Method of Multipliers.- Partial K-means with M outliers: Mathematical programs and complexity results.- An optimization approach for optimizing PRIM's randomly generated rules using the Genetic Algorithm.- Real-world Applications.- A fast methodology to find Decisively Strong Association Rules (DSR).- Characterization and categorization of software programs on x86 architectures.- Robot-Assisted Delivery problems and Their Exact Solutions.- Modeling and analysis of organizational network analysis graphs based on employee data.- Time Series Forecasting for Parking Occupancy: Case Study of Malaga and Birmingham Cities.- E-scooters Routes Potential: Open Data Analysis in Current Infrastructure. Malaga Case.- Automatic Generation of Subtitles for Videos of the Government of La Rioja.- Estimation of the distribution of Body Mass Index (BMI) with sparse and low-quality data. The case of the Chilean adult population.- A New Automated Customer Prioritization Method.
Es gelten unsere Allgemeinen Geschäftsbedingungen: www.buecher.de/agb
Impressum
www.buecher.de ist ein Internetauftritt der buecher.de internetstores GmbH
Geschäftsführung: Monica Sawhney | Roland Kölbl | Günter Hilger
Sitz der Gesellschaft: Batheyer Straße 115 - 117, 58099 Hagen
Postanschrift: Bürgermeister-Wegele-Str. 12, 86167 Augsburg
Amtsgericht Hagen HRB 13257
Steuernummer: 321/5800/1497
USt-IdNr: DE450055826
